Shared and distinct neural correlates of vowel perception and production

Sato, Marc; Grabski, Krystyna; Lamalle, Laurent; Schwartz, Jean‐Luc; Vilain, Coriandre; Troprés, Irène; Vallée, Nathalie; Baciu, Monica; Bas, Jean-François Le

doi:10.1016/j.jneuroling.2012.11.003

Cited by 30 publications

(34 citation statements)

References 131 publications

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“…At the neural level, the typical networks for speech production and perception were observed, in agreement with previous studies on vowel production and perception (Özdemir et al, 2006; Sörös et al, 2006; Terumitsu et al, 2006; Brown et al, 2008; Ghosh et al, 2008; Grabski et al, 2013). Our results also concord with previous studies on voluntary imitation of speech (Damasio and Damasio, 1980; Caramazza et al, 1981; Bartha and Benke, 2003; Molenberghs et al, 2009; Irwin et al, 2011; Reiterer et al, 2011) and fast overt repetition (Peschke et al, 2009), about the involvement of brain regions of the dorsal stream in deliberate imitation processes.…”

Section: Discussionsupporting

confidence: 89%

“…This acquisition technique stems from the time delay existing between the neural activity linked to a motor or perceptual task and the associated hemodynamic response. Based on the estimation of this delay in tasks of speech production and perception by previous studies (Grabski et al, 2013), the functional scan was chosen to start 4.7 s after stimulus perception, thus 3.7 s after vowel production (in T2–T5). A high-resolution T1-weighted whole-brain structural image was acquired for each participant after the third functional run (MP-RAGE, sagittal volume of 256 × 224 × 176 mm 3 with a 1 mm isotropic resolution, inversion time = 900 ms, two segments, segment repetition time = 2500 ms, segment duration = 1795 ms, TR / TE = 16/5 in ms with 35% partial echo, flip angle = 8°).…”

Section: Methodsmentioning

confidence: 99%

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Neural correlates of phonetic convergence and speech imitation

Garnier¹,

Lamalle²,

Sato³

2013

Front. Psychol.

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Speakers unconsciously tend to mimic their interlocutor's speech during communicative interaction. This study aims at examining the neural correlates of phonetic convergence and deliberate imitation, in order to explore whether imitation of phonetic features, deliberate, or unconscious, might reflect a sensory-motor recalibration process. Sixteen participants listened to vowels with pitch varying around the average pitch of their own voice, and then produced the identified vowels, while their speech was recorded and their brain activity was imaged using fMRI. Three degrees and types of imitation were compared (unconscious, deliberate, and inhibited) using a go-nogo paradigm, which enabled the comparison of brain activations during the whole imitation process, its active perception step, and its production. Speakers followed the pitch of voices they were exposed to, even unconsciously, without being instructed to do so. After being informed about this phenomenon, 14 participants were able to inhibit it, at least partially. The results of whole brain and ROI analyses support the fact that both deliberate and unconscious imitations are based on similar neural mechanisms and networks, involving regions of the dorsal stream, during both perception and production steps of the imitation process. While no significant difference in brain activation was found between unconscious and deliberate imitations, the degree of imitation, however, appears to be determined by processes occurring during the perception step. Four regions of the dorsal stream: bilateral auditory cortex, bilateral supramarginal gyrus (SMG), and left Wernicke's area, indeed showed an activity that correlated significantly with the degree of imitation during the perception step.

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Section: Discussionsupporting

confidence: 89%

Section: Methodsmentioning

confidence: 99%

Neural correlates of phonetic convergence and speech imitation

Garnier¹,

Lamalle²,

Sato³

2013

Front. Psychol.

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“…In addition, it has been suggested that motor activity during speech perception partly constrains phonetic interpretation of the sensory inputs through the internal generation of candidate articulatory categories (Callan et al, 2004; Wilson and Iacoboni, 2006; Skipper et al, 2007; Poeppel et al, 2008; Rauschecker and Scott, 2009; Hickok et al, 2011; Rauschecker, 2011). From these models, perceptuo-motor learning and plasticity of phonemic goals induced by convergence and sensory-motor adaptive processes might depend on both a ventral and dorsal stream (Guenther, 2006; Hickok and Poeppel, 2007; Rauschecker and Scott, 2009; Hickok et al, 2011; Rauschecker, 2011; Guenther and Vladusich, 2012; Hickok, 2012; see also Grabski et al, 2013 for recent brain-imaging evidence that vowel production and perception both rely on these dorsal and ventral streams). The ventral stream (“what”) is supposed to be in charge for phonological and lexical processing, and thought to be localized in the anterior part of the superior temporal gyrus/sulcus (Scott and Johnsrude, 2003; Rauschecker and Scott, 2009; Rauschecker, 2011) or in the posterior part of the middle temporal gyrus and superior temporal sulcus (Hickok and Poeppel, 2007).…”

Section: Discussionmentioning

confidence: 99%

Converging toward a common speech code: imitative and perceptuo-motor recalibration processes in speech production

Sato¹,

Grabski²,

Garnier³

et al. 2013

Front. Psychol.

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Auditory and somatosensory systems play a key role in speech motor control. In the act of speaking, segmental speech movements are programmed to reach phonemic sensory goals, which in turn are used to estimate actual sensory feedback in order to further control production. The adult's tendency to automatically imitate a number of acoustic-phonetic characteristics in another speaker's speech however suggests that speech production not only relies on the intended phonemic sensory goals and actual sensory feedback but also on the processing of external speech inputs. These online adaptive changes in speech production, or phonetic convergence effects, are thought to facilitate conversational exchange by contributing to setting a common perceptuo-motor ground between the speaker and the listener. In line with previous studies on phonetic convergence, we here demonstrate, in a non-interactive situation of communication, online unintentional and voluntary imitative changes in relevant acoustic features of acoustic vowel targets (fundamental and first formant frequencies) during speech production and imitation. In addition, perceptuo-motor recalibration processes, or after-effects, occurred not only after vowel production and imitation but also after auditory categorization of the acoustic vowel targets. Altogether, these findings demonstrate adaptive plasticity of phonemic sensory-motor goals and suggest that, apart from sensory-motor knowledge, speech production continuously draws on perceptual learning from the external speech environment.

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“…A sparse sampling acquisition paradigm was used (e.g., [28]–[29]) with the speech stimuli or the resting condition presented in the silent interval (7 sec) between volume acquisitions. In each run, the same vowel (/i/ or /y/), or the resting condition was presented in three sets of seven consecutive trials (see Figure 1 for details).…”

Section: Methodsmentioning

confidence: 99%

Repetition Suppression for Speech Processing in the Associative Occipital and Parietal Cortex of Congenitally Blind Adults

et al. 2013

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In the congenitally blind (CB), sensory deprivation results in cross-modal plasticity, with visual cortical activity observed for various auditory tasks. This reorganization has been associated with enhanced auditory abilities and the recruitment of visual brain areas during sound and language processing. The questions we addressed are whether visual cortical activity might also be observed in CB during passive listening to auditory speech and whether cross-modal plasticity is associated with adaptive differences in neuronal populations compared to sighted individuals (SI). We focused on the neural substrate of vowel processing in CB and SI adults using a repetition suppression (RS) paradigm. RS has been associated with enhanced or accelerated neural processing efficiency and synchronous activity between interacting brain regions. We evaluated whether cortical areas in CB were sensitive to RS during repeated vowel processing and whether there were differences across the two groups. In accordance with previous studies, both groups displayed a RS effect in the posterior temporal cortex. In the blind, however, additional occipital, temporal and parietal cortical regions were associated with predictive processing of repeated vowel sounds. The findings suggest a more expanded role for cross-modal compensatory effects in blind persons during sound and speech processing and a functional transfer of specific adaptive properties across neural regions as a consequence of sensory deprivation at birth.

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Shared and distinct neural correlates of vowel perception and production

Cited by 30 publications

References 131 publications

Neural correlates of phonetic convergence and speech imitation

Neural correlates of phonetic convergence and speech imitation

Converging toward a common speech code: imitative and perceptuo-motor recalibration processes in speech production

Repetition Suppression for Speech Processing in the Associative Occipital and Parietal Cortex of Congenitally Blind Adults

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